Analysis of Link Grammar on Biomedical Dependency Corpus Targeted at Protein-Protein Interactions. - Sampo Pyysalo; Filip Ginter; Tapio Pahikkala; Jorma Boberg; Jouni Järvinen; Tapio Salakoski; Jeppe Koivula (NLPBA/BioNLP, 2004)

Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis. - Filip Ginter; Tapio Pahikkala; Sampo Pyysalo; Jorma Boberg; Jouni Järvinen; Tapio Salakoski (Rough Sets and Current Trends in Computing, 2004)

Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks. - Tapio Pahikkala; Sampo Pyysalo; Filip Ginter; Jorma Boberg; Jouni Järvinen; Tapio Salakoski (FLAIRS, 2005)

Regularized Least-Squares for Parse Ranking. - Evgeni Tsivtsivadze; Tapio Pahikkala; Sampo Pyysalo; Jorma Boberg; Aleksandr Mylläri; Tapio Salakoski (IDA, 2005)

Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation. - Tapio Pahikkala; Filip Ginter; Jorma Boberg; Jouni Järvinen; Tapio Salakoski (BMC Bioinform., 2005)

Incorporating External Information in Bayesian Classifiers Via Linear Feature Transformations. - Tapio Pahikkala; Jorma Boberg; Aleksandr Mylläri; Tapio Salakoski (FinTAL, 2006)

Locality-Convolution Kernel and Its Application to Dependency Parse Ranking. - Evgeni Tsivtsivadze; Tapio Pahikkala; Jorma Boberg; Tapio Salakoski (IEA/AIE, 2006)

Relevance Ranking of Intensive Care Nursing Narratives. - Hanna Suominen; Tapio Pahikkala; Marketta Hiissa; Tuija Lehtikunnas; Barbro Back; Helena Karsten; Sanna Salanterä; Tapio Salakoski (KES (1), 2006)

Evaluation of two dependency parsers on biomedical corpus targeted at protein-protein interactions. - Sampo Pyysalo; Filip Ginter; Tapio Pahikkala; Jorma Boberg; Jouni Järvinen; Tapio Salakoski (Int. J. Medical Informatics, 2006)

Inspiratory flow shape clustering: An automated method to monitor upper airway performance during sleep. - Tero Aittokallio; Jani S. Malminen; Tapio Pahikkala; Olli Polo; Olli Nevalainen (Comput. Methods Programs Biomed., 2007)

Towards automated classification of intensive care nursing narratives. - Marketta Hiissa; Tapio Pahikkala; Hanna Suominen; Tuija Lehtikunnas; Barbro Back; Helena Karsten; Sanna Salanterä; Tapio Salakoski (Int. J. Medical Informatics, 2007)

A Graph Kernel for Protein-Protein Interaction Extraction. - Antti Airola; Sampo Pyysalo; Jari Björne; Tapio Pahikkala; Filip Ginter; Tapio Salakoski (BioNLP, 2008)

Efficient AUC Maximization with Regularized Least-Squares. - Tapio Pahikkala; Antti Airola; Hanna Suominen; Jorma Boberg; Tapio Salakoski (SCAI, 2008)

A Sparse Regularized Least-Squares Preference Learning Algorithm. - Evgeni Tsivtsivadze; Tapio Pahikkala; Antti Airola; Jorma Boberg; Tapio Salakoski (SCAI, 2008)

All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning. - Antti Airola; Sampo Pyysalo; Jari Björne; Tapio Pahikkala; Filip Ginter; Tapio Salakoski (BMC Bioinform., 2008)

Kernels for Text Analysis. - Evgeni Tsivtsivadze; Tapio Pahikkala; Jorma Boberg; Tapio Salakoski (Advances of Computational Intelligence in Industrial Systems, 2008)

Extracting Complex Biological Events with Rich Graph-Based Feature Sets. - Jari Björne; Juho Heimonen; Filip Ginter; Antti Airola; Tapio Pahikkala; Tapio Salakoski (BioNLP@HLT-NAACL (Shared Task), 2009)

Efficient Hold-Out for Subset of Regressors. - Tapio Pahikkala; Hanna Suominen; Jorma Boberg; Tapio Salakoski (ICANNGA, 2009)

Fast evolutionary maximum margin clustering. - Fabian Gieseke; Tapio Pahikkala; Oliver Kramer 001 (ICML, 2009)

Locality kernels for sequential data and their applications to parse ranking. - Evgeni Tsivtsivadze; Tapio Pahikkala; Jorma Boberg; Tapio Salakoski (Appl. Intell., 2009)

Matrix representations, linear transformations, and kernels for disambiguation in natural language. - Tapio Pahikkala; Sampo Pyysalo; Jorma Boberg; Jouni Järvinen; Tapio Salakoski (Mach. Learn., 2009)

An efficient algorithm for learning to rank from preference graphs. - Tapio Pahikkala; Evgeni Tsivtsivadze; Antti Airola; Jouni Järvinen; Jorma Boberg (Mach. Learn., 2009)

Co-Regularized Least-Squares for Label Ranking. - Evgeni Tsivtsivadze; Tapio Pahikkala; Jorma Boberg; Tapio Salakoski; Tom Heskes (Preference Learning, 2010)

Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection. - Antti Airola; Tapio Pahikkala; Jorma Boberg; Tapio Salakoski (ICMLA, 2010)

Speeding Up Greedy Forward Selection for Regularized Least-Squares. - Tapio Pahikkala; Antti Airola; Tapio Salakoski (ICMLA, 2010)

Conditional Ranking on Relational Data. - Tapio Pahikkala; Willem Waegeman; Antti Airola; Tapio Salakoski; Bernard De Baets (ECML/PKDD (2), 2010)

Learning intransitive reciprocal relations with kernel methods. - Tapio Pahikkala; Willem Waegeman; Evgeni Tsivtsivadze; Tapio Salakoski; Bernard De Baets (Eur. J. Oper. Res., 2010)

A comparison of AUC estimators in small-sample studies. - Antti Airola; Tapio Pahikkala; Willem Waegeman; Bernard De Baets; Tapio Salakoski (MLSB, 2010)

Learning Valued Relations from Data. - Willem Waegeman; Tapio Pahikkala; Antti Airola; Tapio Salakoski; Bernard De Baets (Eurofuse, 2011)

Fast and parallelized greedy forward selection of genetic variants in Genome-wide association studies. - Sebastian Okser; Tapio Pahikkala; Antti Airola; Tero Aittokallio; Tapio Salakoski (GENSiPS, 2011)

An Improved Training Algorithm for the Linear Ranking Support Vector Machine. - Antti Airola; Tapio Pahikkala; Tapio Salakoski (ICANN (1), 2011)

Greedy Regularized Least-Squares for Multi-task Learning. - Pekka Naula; Tapio Pahikkala; Antti Airola; Tapio Salakoski (ICDM Workshops, 2011)

Speedy Local Search for Semi-Supervised Regularized Least-Squares. - Fabian Gieseke; Oliver Kramer 001; Antti Airola; Tapio Pahikkala (KI, 2011)

A Parallel Online Regularized Least-squares Machine Learning Algorithm for Future Multi-core Processors. - Tapio Pahikkala; Antti Airola; Thomas Canhao Xu; Pasi Liljeberg; Hannu Tenhunen; Tapio Salakoski (PECCS, 2011)

Learning Multi-Label Predictors under Sparsity Budget. - Pekka Naula; Tapio Pahikkala; Antti Airola; Tapio Salakoski (SCAI, 2011)

Extracting Contextualized Complex Biological Events with Rich Graph-Based Feature Sets. - Jari Björne; Juho Heimonen; Filip Ginter; Antti Airola; Tapio Pahikkala; Tapio Salakoski (Comput. Intell., 2011)

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve. - Antti Airola; Tapio Pahikkala; Willem Waegeman; Bernard De Baets; Tapio Salakoski (Comput. Stat. Data Anal., 2011)

On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix. - Antti Airola; Tapio Pahikkala; Tapio Salakoski (Neural Process. Lett., 2011)

Training linear ranking SVMs in linearithmic time using red-black trees. - Antti Airola; Tapio Pahikkala; Tapio Salakoski (Pattern Recognit. Lett., 2011)

Implementation and Analysis of Block Dense Matrix Decomposition on Network-on-Chips. - Thomas Canhao Xu; Tapio Pahikkala; Antti Airola; Pasi Liljeberg; Juha Plosila; Tapio Salakoski; Hannu Tenhunen (HPCC-ICESS, 2012)

Unsupervised Multi-class Regularized Least-Squares Classification. - Tapio Pahikkala; Antti Airola; Fabian Gieseke; Oliver Kramer 001 (ICDM, 2012)

Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. - Fabian Gieseke; Antti Airola; Tapio Pahikkala; Oliver Kramer 001 (ICPRAM (1), 2012)

Parallel Feature Selection for Regularized Least-Squares. - Sebastian Okser; Antti Airola; Tero Aittokallio; Tapio Salakoski; Tapio Pahikkala (PARA, 2012)

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations. - Tapio Pahikkala; Sebastian Okser; Antti Airola; Tapio Salakoski; Tero Aittokallio (Algorithms Mol. Biol., 2012)

Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification. - Fabian Gieseke; Oliver Kramer 001; Antti Airola; Tapio Pahikkala (Evol. Intell., 2012)

Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems. - Tapio Pahikkala; Antti Airola; Thomas Canhao Xu; Pasi Liljeberg; Hannu Tenhunen; Tapio Salakoski (Int. J. Embed. Real Time Commun. Syst., 2012)

Efficient cross-validation for kernelized least-squares regression with sparse basis expansions. - Tapio Pahikkala; Hanna Suominen; Jorma Boberg (Mach. Learn., 2012)

A Kernel-Based Framework for Learning Graded Relations From Data. - Willem Waegeman; Tapio Pahikkala; Antti Airola; Tapio Salakoski; Michiel Stock; Bernard De Baets (IEEE Trans. Fuzzy Syst., 2012)

Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification. - Fabian Gieseke; Tapio Pahikkala; Christian Igel (ACML, 2013)

Optimized multicore architectures for data parallel fast Fourier transform. - Thomas Canhao Xu; Tapio Pahikkala; Pasi Liljeberg; Juha Plosila; Hannu Tenhunen (CompSysTech, 2013)

Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers. - Fahimeh Farahnakian; Tapio Pahikkala; Pasi Liljeberg; Juha Plosila (UCC, 2013)

Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives. - Sebastian Okser; Tapio Pahikkala; Tero Aittokallio (BioData Min., 2013)

Efficient regularized least-squares algorithms for conditional ranking on relational data. - Tapio Pahikkala; Antti Airola; Michiel Stock; Bernard De Baets; Willem Waegeman (Mach. Learn., 2013)

Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System. - Fahimeh Farahnakian; Adnan Ashraf; Pasi Liljeberg; Tapio Pahikkala; Juha Plosila; Ivan Porres; Hannu Tenhunen (IEEE CLOUD, 2014)

Hierarchical Agent-Based Architecture for Resource Management in Cloud Data Centers. - Fahimeh Farahnakian; Tapio Pahikkala; Pasi Liljeberg; Juha Plosila (IEEE CLOUD, 2014)

Hierarchical VM Management Architecture for Cloud Data Centers. - Fahimeh Farahnakian; Pasi Liljeberg; Tapio Pahikkala; Juha Plosila; Hannu Tenhunen (CloudCom, 2014)

Multi-agent Based Architecture for Dynamic VM Consolidation in Cloud Data Centers. - Fahimeh Farahnakian; Tapio Pahikkala; Pasi Liljeberg; Juha Plosila; Hannu Tenhunen (EUROMICRO-SEAA, 2014)

Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data. - Jonne Pohjankukka; Paavo Nevalainen; Tapio Pahikkala; Pekka Hänninen; Eija Hyvönen; Raimo Sutinen; Jukka Heikkonen (ICPR, 2014)

Predicting Water Permeability of the Soil Based on Open Data. - Jonne Pohjankukka; Paavo Nevalainen; Tapio Pahikkala; Eija Hyvönen; Pekka Hänninen; Raimo Sutinen; Jari Ala-Ilomäki; Jukka Heikkonen (AIAI, 2014)

On Evaluation of Automatically Generated Clinical Discharge Summaries. - Hans Moen; Juho Heimonen; Laura-Maria Murtola; Antti Airola; Tapio Pahikkala; Virpi Terävä; Riitta Danielsson-Ojala; Tapio Salakoski; Sanna Salanterä (PAHI, 2014)

A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction. - Tapio Pahikkala; Michiel Stock; Antti Airola; Tero Aittokallio; Bernard De Baets; Willem Waegeman (ECML/PKDD (2), 2014)

Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data. - Juho Heimonen; Tapio Salakoski; Tapio Pahikkala (S+SSPR, 2014)

Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels. - Tapio Pahikkala (S+SSPR, 2014)

BDMap: A Heuristic Application Mapping Algorithm for the Big Data Era. - Thomas Canhao Xu; Jussi Toivonen; Tapio Pahikkala; Ville Leppänen (UIC/ATC/ScalCom, 2014)

Fast and simple gradient-based optimization for semi-supervised support vector machines. - Fabian Gieseke; Antti Airola; Tapio Pahikkala; Oliver Kramer 001 (Neurocomputing, 2014)

Predicting patient acuity from electronic patient records. - Elina Kontio; Antti Airola; Tapio Pahikkala; Heljä Lundgrén-Laine; Kristiina Junttila; Heikki Korvenranta; Tapio Salakoski; Sanna Salanterä (J. Biomed. Informatics, 2014)

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers. - Tapio Pahikkala; Antti Airola; Fabian Gieseke; Oliver Kramer 001 (J. Comput. Sci. Technol., 2014)

High Performance Pattern Matching on Heterogeneous Platform. - Shima Soroushnia; Masoud Daneshtalab; Juha Plosila; Tapio Pahikkala; Pasi Liljeberg (J. Integr. Bioinform., 2014)

Multi-label learning under feature extraction budgets. - Pekka Naula; Antti Airola; Tapio Salakoski; Tapio Pahikkala (Pattern Recognit. Lett., 2014)

Identification of Functionally Related Enzymes by Learning-to-Rank Methods. - Michiel Stock; Thomas Fober; Eyke Hüllermeier; Serghei Glinca; Gerhard Klebe; Tapio Pahikkala; Antti Airola; Bernard De Baets; Willem Waegeman (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing. - Fahimeh Farahnakian; Tapio Pahikkala; Pasi Liljeberg; Juha Plosila; Hannu Tenhunen (CLOUD, 2015)

Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems. - Parisa Movahedi; Paavo Nevalainen; Markus Viljanen; Tapio Pahikkala (ICPRAM (2), 2015)

Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling. - Thomas Canhao Xu; Jonne Pohjankukka; Paavo Nevalainen; Ville Leppänen; Tapio Pahikkala (ICSOFT-EA, 2015)

Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering. - Fabian Gieseke; Tapio Pahikkala; Tom Heskes (IDA, 2015)

Learning Low Cost Multi-target Models by Enforcing Sparsity. - Pekka Naula; Antti Airola; Tapio Salakoski; Tapio Pahikkala (IEA/AIE, 2015)

Detecting stony areas based on ground surface curvature distribution. - Paavo Nevalainen; Maarit Middleton; Ilkka Kaate; Tapio Pahikkala; Raimo Sutinen; Jukka Heikkonen (IPTA, 2015)

A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips. - Mohammad Fattah; Antti Airola; Rachata Ausavarungnirun; Nima Mirzaei; Pasi Liljeberg; Juha Plosila; Siamak Mohammadi; Tapio Pahikkala; Onur Mutlu; Hannu Tenhunen (NOCS, 2015)

Parallel Implementation of Fuzzified Pattern Matching Algorithm on GPU. - Shima Soroushnia; Masoud Daneshtalab; Tapio Pahikkala; Juha Plosila (PDP, 2015)

Toward more realistic drug-target interaction predictions. - Tapio Pahikkala; Antti Airola; Sami Pietilä; Sushil Kumar Shakyawar; Agnieszka Szwajda; Jing Tang 002; Tero Aittokallio (Briefings Bioinform., 2015)

Classification of plant species from images of overlapping leaves. - Tapio Pahikkala; Kim Kari; Heta Mattila; Anna Lepistö; Jukka Teuhola; Olli S. Nevalainen; Esa Tyystjärvi (Comput. Electron. Agric., 2015)

Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels. - Tapio Pahikkala; Markus Viljanen; Antti Airola; Willem Waegeman (CoRR, 2015)

Estimating the production time of a PCB assembly job without solving the optimised machine control. - Frans Vainio; Tapio Pahikkala; Mika Johnsson; Olli Nevalainen; Timo Knuutila (Int. J. Comput. Integr. Manuf., 2015)

Using Ant Colony System to Consolidate VMs for Green Cloud Computing. - Fahimeh Farahnakian; Adnan Ashraf; Tapio Pahikkala; Pasi Liljeberg; Juha Plosila; Ivan Porres; Hannu Tenhunen (IEEE Trans. Serv. Comput., 2015)

Self-Adaptive Resource Management System in IaaS Clouds. - Fahimeh Farahnakian; Rami Bahsoon; Pasi Liljeberg; Tapio Pahikkala (CLOUD, 2016)

Modelling user retention in mobile games. - Markus Viljanen; Antti Airola; Tapio Pahikkala; Jukka Heikkonen (CIG, 2016)

User activity decay in mobile games determined by simple differential equations? - Markus Viljanen; Antti Airola; Tapio Pahikkala; Jukka Heikkonen (CIG, 2016)

Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions. - Ileana Montoya Perez; Jussi Toivonen; Parisa Movahedi; Harri Merisaari; Marko Pesola; Pekka Taimen; Peter J. Boström; Aida Kiviniemi; Hannu J. Aronen; Tapio Pahikkala; Ivan Jambor (IPTA, 2016)

Comparison of automatic summarisation methods for clinical free text notes. - Hans Moen; Laura-Maria Peltonen; Juho Heimonen; Antti Airola; Tapio Pahikkala; Tapio Salakoski; Sanna Salanterä (Artif. Intell. Medicine, 2016)

Fast Kronecker product kernel methods via sampled vec trick. - Antti Airola; Tapio Pahikkala (CoRR, 2016)

Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method. - Michiel Stock; Tapio Pahikkala; Antti Airola; Bernard De Baets; Willem Waegeman (CoRR, 2016)

RLScore: Regularized Least-Squares Learners. - Tapio Pahikkala; Antti Airola (J. Mach. Learn. Res., 2016)

Detecting Terrain Stoniness From Airborne Laser Scanning Data. - Paavo Nevalainen; Maarit Middleton; Raimo Sutinen; Jukka Heikkonen; Tapio Pahikkala (Remote. Sens., 2016)

A/B-Test of Retention and Monetization Using the Cox Model. - Markus Viljanen; Antti Airola; Jukka Heikkonen; Tapio Pahikkala (AIIDE, 2017)

Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode. - Paavo Nevalainen; Ivan Jambor; Jonne Pohjankukka; Jukka Heikkonen; Tapio Pahikkala (ICPRAM, 2017)

Estimating the prediction performance of spatial models via spatial k-fold cross validation. - Jonne Pohjankukka; Tapio Pahikkala; Paavo Nevalainen; Jukka Heikkonen (Int. J. Geogr. Inf. Sci., 2017)

Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors. - Anna Cichonska; Balaguru Ravikumar; Elina Parri; Sanna Timonen; Tapio Pahikkala; Antti Airola; Krister Wennerberg; Juho Rousu; Tero Aittokallio (PLoS Comput. Biol., 2017)

Estimating the Rut Depth by UAV Photogrammetry. - Paavo Nevalainen; Aura Salmivaara; Jari Ala-Ilomäki; Samuli Launiainen; Juuso Hiedanpää; Leena Finér; Tapio Pahikkala; Jukka Heikkonen (Remote. Sens., 2017)

HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT. - Iman Azimi; Arman Anzanpour; Amir M. Rahmani; Tapio Pahikkala; Marco Levorato; Pasi Liljeberg; Nikil D. Dutt (ACM Trans. Embed. Comput. Syst., 2017)

Learning with multiple pairwise kernels for drug bioactivity prediction. - Anna Cichonska; Tapio Pahikkala; Sándor Szedmák; Heli Julkunen; Antti Airola; Markus Heinonen; Tero Aittokallio; Juho Rousu (Bioinform., 2018)

Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome. - Aki Koivu; Teemu Korpimäki; Petri Kivelä; Tapio Pahikkala; Mikko Sairanen (Comput. Biol. Medicine, 2018)

A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression. - Michiel Stock; Tapio Pahikkala; Antti Airola; Bernard De Baets; Willem Waegeman (Neural Comput., 2018)

Playtime Measurement With Survival Analysis. - Markus Viljanen; Antti Airola; Jukka Heikkonen; Tapio Pahikkala (IEEE Trans. Games, 2018)

Fast Kronecker Product Kernel Methods via Generalized Vec Trick. - Antti Airola; Tapio Pahikkala (IEEE Trans. Neural Networks Learn. Syst., 2018)

Predicting the monetization percentage with survival analysis in free-to-play games. - Riikka Numminen; Markus Viljanen; Tapio Pahikkala (CoG, 2019)

Skin Conductance Response to Gradual-Increasing Experimental Pain. - Elise Syrjälä; Mingzhe Jiang; Tapio Pahikkala; Sanna Salanterä; Pasi Liljeberg (EMBC, 2019)

Automatic detection of cereal rows by means of pattern recognition techniques. - Henri Tenhunen; Tapio Pahikkala; Olli Nevalainen; Jukka Teuhola; Heta Mattila; Esa Tyystjärvi (Comput. Electron. Agric., 2019)

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers. - Antti Airola; Jonne Pohjankukka; Johanna Torppa; Maarit Middleton; Vesa Nykänen; Jukka Heikkonen; Tapio Pahikkala (Data Min. Knowl. Discov., 2019)

Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health. - Iman Azimi; Tapio Pahikkala; Amir M. Rahmani; Hannakaisa Niela-Vilén; Anna Axelin; Pasi Liljeberg (Future Gener. Comput. Syst., 2019)

Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model. - Fahimeh Farahnakian; Tapio Pahikkala; Pasi Liljeberg; Juha Plosila; Nguyen Trung Hieu; Hannu Tenhunen (IEEE Trans. Cloud Comput., 2019)

Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data. - Markus Viljanen; Ajay Byanjankar; Tapio Pahikkala (KES-IDT, 2020)

Predicting Unemployment with Machine Learning Based on Registry Data. - Markus Viljanen; Tapio Pahikkala (RCIS, 2020)

Algebraic shortcuts for leave-one-out cross-validation in supervised network inference. - Michiel Stock; Tapio Pahikkala; Antti Airola; Willem Waegeman; Bernard De Baets (Briefings Bioinform., 2020)

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance. - Golnaz Sahebi; Parisa Movahedi; Masoumeh Ebrahimi; Tapio Pahikkala; Juha Plosila; Hannu Tenhunen (Comput. Biol. Medicine, 2020)

A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction. - Sándor Szedmák; Anna Cichonska; Heli Julkunen; Tapio Pahikkala; Juho Rousu (CoRR, 2020)

Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting. - Markus Viljanen; Jukka Vahlo; Aki Koponen; Tapio Pahikkala (CoRR, 2020)

New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution. - Markus Viljanen; Tapio Pahikkala (CoRR, 2020)

Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets. - Mika Murtojärvi; Anni S. Halkola; Antti Airola; Teemu D. Laajala; Tuomas Mirtti; Tero Aittokallio; Tapio Pahikkala (Int. J. Medical Informatics, 2020)

Synthetic minority oversampling of vital statistics data with generative adversarial networks. - Aki Koivu; Mikko Sairanen; Antti Airola; Tapio Pahikkala (J. Am. Medical Informatics Assoc., 2020)

Measuring Player Retention and Monetization Using the Mean Cumulative Function. - Markus Viljanen; Antti Airola; Anne-Maarit Majanoja; Jukka Heikkonen; Tapio Pahikkala (IEEE Trans. Games, 2020)

A Resource Management Model for Distributed Multi-Task Applications in Fog Computing Networks. - Farhoud Hosseinpour; Ahmad Naebi; Seppo Virtanen; Tapio Pahikkala; Hannu Tenhunen; Juha Plosila (IEEE Access, 2021)

Modeling drug combination effects via latent tensor reconstruction. - Tianduanyi Wang; Sándor Szedmák; Haishan Wang; Tero Aittokallio; Tapio Pahikkala; Anna Cichonska; Juho Rousu (Bioinform., 2021)

Adaptive risk prediction system with incremental and transfer learning. - Aki Koivu; Mikko Sairanen; Antti Airola; Tapio Pahikkala; Wing-cheong Leung; Tsz-kin Lo; Daljit Singh Sahota (Comput. Biol. Medicine, 2021)

A Link between Coding Theory and Cross-Validation with Applications. - Tapio Pahikkala; Parisa Movahedi; Ileana Montoya Perez; Havu Miikonen; Ivan Jambor; Antti Airola; László Major (CoRR, 2021)

Generalized vec trick for fast learning of pairwise kernel models. - Markus Viljanen; Antti Airola; Tapio Pahikkala (Mach. Learn., 2022)

Bayesian Inference for Predicting the Monetization Percentage in Free-to-Play Games. - Riikka Numminen; Markus Juhani Viljanen; Tapio Pahikkala (IEEE Trans. Games, 2022)

Evaluating Classifiers Trained on Differentially Private Synthetic Health Data. - Parisa Movahedi; Valtteri Nieminen; Ileana Montoya Perez; Tapio Pahikkala; Antti Airola (CBMS, 2023)

Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data. - Valtteri Nieminen; Tapio Pahikkala; Antti Airola (TKTP, 2023)

Budget-Based Classification of Parkinson's Disease From Resting State EEG. - Ilkka Suuronen; Antti Airola; Tapio Pahikkala; Mika Murtojärvi; Valtteri Kaasinen; Henry Railo (IEEE J. Biomed. Health Informatics, 2023)

Quicksort leave-pair-out cross-validation for ROC curve analysis. - Riikka Numminen; Ileana Montoya Perez; Ivan Jambor; Tapio Pahikkala; Antti Airola (Comput. Stat., 2023)

Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data. - Parisa Movahedi; Valtteri Nieminen; Ileana Montoya Perez; Hiba Daafane; Dishant Sukhwal; Tapio Pahikkala; Antti Airola (IEEE Access, 2024)

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? - Ileana Montoya Perez; Parisa Movahedi; Valtteri Nieminen; Antti Airola; Tapio Pahikkala (CoRR, 2024)

A comparison of embedding aggregation strategies in drug-target interaction prediction. - Dimitrios Iliadis; Bernard De Baets; Tapio Pahikkala; Willem Waegeman (BMC Bioinform., 2024)

Towards practical federated learning and evaluation for medical prediction models. - Andrei Kazlouski; Ileana Montoya Perez; Faiza Anan Noor; Mikael Högerman; Otto Ettala; Tapio Pahikkala; Antti Airola (Int. J. Medical Informatics, 2025)

Stochastic limited memory bundle algorithm for clustering in big data. - Napsu Karmitsa; Ville-Pekka Eronen; Marko M. Mäkelä; Tapio Pahikkala; Antti Airola (Pattern Recognit., 2025)

Limited memory bundle DC algorithm for sparse pairwise kernel learning. - Napsu Karmitsa; Kaisa Joki; Antti Airola; Tapio Pahikkala (J. Glob. Optim., 2025)